AIR-MRF: Accelerated iterative reconstruction for magnetic resonance fingerprinting
AIR-MRF: Accelerated iterative reconstruction for magnetic resonance fingerprinting
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DOI：
10.1016/j.mri.2017.07.007
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发表时间：
2017-09-01
影响因子：
2.5
通讯作者：
Nadar, Mariappan S.
中科院分区：
文献类型：
--
作者：
Cline, Christopher C.;Chen, Xiao;Nadar, Mariappan S.
现有的利用磁共振指纹（MRF）重建多参数图的方法目前受到其估计精度和重建时间的限制。我们的目标是通过迭代重建、指纹压缩、附加正则化和加速字典搜索方法的新颖组合来解决这些问题。这里描述的管道，即磁共振指纹识别 (AIR-MRF) 的加速迭代重建，通过模拟以及体模和体内扫描进行了评估。我们发现，与非迭代和其他迭代方法相比，AIR-MRF 管道提供了减少的参数估计误差，特别是在较短的序列长度下。迭代流程中纳入的加速字典搜索方法减少了重建时间，而质量损失却很小。 (C) 2017 Elsevier Inc. 保留所有权利。
Existing approaches for reconstruction of multiparametric maps with magnetic resonance fingerprinting (MRF) are currently limited by their estimation accuracy and reconstruction time. We aimed to address these issues with a novel combination of iterative reconstruction, fingerprint compression, additional regularization, and accelerated dictionary search methods. The pipeline described here, accelerated iterative reconstruction for magnetic resonance fingerprinting (AIR-MRF), was evaluated with simulations as well as phantom and in vivo scans. We found that the AIR-MRF pipeline provided reduced parameter estimation errors compared to non-iterative and other iterative methods, particularly at shorter sequence lengths. Accelerated dictionary search methods incorporated into the iterative pipeline reduced the reconstruction time at little cost of quality. (C) 2017 Elsevier Inc. All rights reserved.